Acta Scientific Veterinary Sciences (ASVS)(ISSN: 2582-3183)

Research Article Volume 2 Issue 7

Sensitivity Analysis of Airport Taxi Scheduling during the Epidemic of Coronavirus Disease 2019 in China

Yichi Li1, Zhuoxun Liu2, Mengyu Li3, Ming Li2, Ran Zhao3 and Bin Zhao1

1School of Science, Hubei University of Technology, Wuhan, Hubei, China
2Normal School of Vocational and Technical Education, HuBei University of Technology, Wuhan, Hubei, China
3School of Economics and Management, Hubei University of Technology, Wuhan, Hubei, China

*Corresponding Author: Bin Zhao, School of Science, Hubei University of Technology, Wuhan, Hubei, China.

Received: May 06, 2020; Published: June 30, 2020



  From the perspective of taxi drivers and airport managers, this paper makes a detailed analysis and solution to the problem of airport taxi scheduling during the epidemic of Coronavirus (COVID-19) by using the stochastic decision model. Based on the stochastic decision model, the selection strategies of taxi drivers are given by considering the seasonal weather and flight information. Firstly, the revenue function is introduced to calculate the revenue of strategy A (line up to pick up passengers) and strategy B (take no passengers back to the city) in the same time respectively. For the queuing loss, we give the probability calculation model of the average waiting time through the relationship between the number of existing vehicles in the storage pool and the initial number of queuing people, the arrival intensity of queuing, the boarding time and the number of boarding people. We get the expressions of the expected return under the two strategies and choose the strategy according to the principle of the maximum expected return. Then the average arrival intensity of queuing passengers is calculated by the specific data, and then the real-time data flow of queuing passengers is simulated. The random decision-making model is verified, in which the accuracy rate of flight peak decision-making reaches 100%, the accuracy rate of middle peak decision-making reaches 73.8%, and the accuracy rate of low peak decision-making reaches 91.9%. In addition, the impact of waiting volume in the storage pool, the number of people arriving in the queue per hour and other factors on the average waiting time of taxis is also plotted. It is found that the waiting volume in the storage pool has a more significant impact on the waiting time. Finally, the paper analyzes the sensitivity of the waiting number of the variable storage pool in the stochastic decision-making model, and finds that the waiting number of the storage pool is more sensitive to the stochastic decision-making model, while the distribution of the number of passengers is not sensitive to the stochastic decision-making model. The purpose of this paper is to establish a stochastic decision-making model for airport taxi scheduling by analyzing the influencing mechanism of taxi drivers' decision-making related factors during the epidemic of Coronavirus (COVID-19) and to give the choice strategy of drivers, so as to maximize the benefits of drivers.

Keywords:Airport Taxi Scheduling; Stochastic Decision Model; Epidemic of COVID-19; Sensitivity Analysis



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Citation: Bin Zhao., et al. “Sensitivity Analysis of Airport Taxi Scheduling during the Epidemic of Coronavirus Disease 2019 in China".Acta Scientific Medical Sciences 2.7 (2020): 65-69.


Acceptance rate35%
Acceptance to publication20-30 days
Impact Factor0.777

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